At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.
Summary of the Job:
About This Role:
1. Vision and Strategy
- Define and own the multi-year modeling roadmap for the development of several critical custom credit-risk acquisition and portfolio management models, establishing strategic priorities, sequencing, and investment rationale aligned with Partnership Division business objectives.
- Serve as a senior thought leader and decision-maker on modeling approaches, leading discussions with senior business, credit risk, first line of risk, compliance, and technology stakeholders to align methodology, priorities, and risk considerations.
- Identify and evaluate emerging modeling capabilities, analytical approaches, and implementation methods that can expand the division's competitive advantage in credit decisioning and customer risk management.
- Communicate modeling strategy, project status, and key results to senior leaders through clear, executive-ready reporting — translating complex quantitative findings into actionable business insights and ensuring leadership has the visibility needed to make informed decisions.
2. Model Development
- Independently design and develop advanced ML models for credit card acquisition and underwriting and account management and customer risk.
- Apply advanced statistical and machine learning techniques to large-scale customer and credit datasets.
- Evaluate and implement algorithms including gradient boosting, random forests, neural networks, generalized additive models, ensemble methods, survival models, and other advanced ML approaches.
- Conduct fair lending analysis (e.g., least discriminatory analysis).
- Identify opportunities to improve model performance, stability, interpretability, and business value.
3. End-to-End Model Ownership
- Independently lead model-development projects from problem definition through production implementation.
- Translate business objectives into well-defined modeling frameworks, target variables, populations, and performance criteria.
- Perform feature engineering, variable selection, model development, hyperparameter optimization, and performance evaluation.
- Establish appropriate training, validation, and out-of-time testing strategies.
- Document modeling methodology, assumptions, limitations, and results.
- Partner with model validation and model risk management teams to address challenges and incorporate feedback.
4. Advanced Analytics and Research
- Conduct research on emerging ML techniques and assess their applicability to credit risk.
- Develop innovative approaches for extracting predictive signals from traditional and alternative data sources.
- Investigate nonlinear relationships, interactions, customer behavior patterns, and temporal dynamics that may not be captured by traditional credit-risk models.
- Develop interpretable ML approaches that balance predictive performance with regulatory and business requirements.
- Explore techniques such as explainable AI, causal modeling, ensemble learning, semi-supervised learning, and automated machine learning where appropriate.
5. Model Performance and Monitoring
- Develop model performance and stability monitoring frameworks.
- Monitor predictive performance, population shifts, variable stability, and model degradation.
- Identify emerging risks and recommend model recalibration, redevelopment, or replacement when appropriate.
- Conduct ongoing research to improve model performance and robustness.
6. Technical Leadership
- Serve as a subject-matter expert in advanced ML and credit-risk modeling.
- Establish best practices for ML model development, testing, documentation, and deployment.
- Stay current with advances in machine learning, credit-risk analytics, and regulatory expectations.
The Ideal Candidate for This Role:
Required Qualifications
- Master's degree or PhD in Statistics, Data Science, Computer Science, Mathematics, Operations Research, Econometrics, or a related quantitative field.
- PhD strongly preferred, particularly for candidates with strong research experience in machine learning, statistics, or quantitative finance.
- 7+ years of experience developing statistical or machine learning models, preferably in financial services or consumer credit with experience developing credit card acquisition and account-management models.
- Strong experience independently developing predictive models using large and complex datasets.
- Demonstrated expertise in Python and/or R; strong SQL skills.
- Experience with gradient boosting/XGBoost/LightGBM, ensemble methods, neural networks, and other advanced ML techniques.
- Experience with model explainability techniques such as SHAP and partial dependence.
- Experience with the full model-development lifecycle, including development, implementation, and monitoring.
- Strong understanding of credit-risk concepts and consumer lending.
Compensation:
Compensation range (base pay): $158,696.00-$269,783.00
This role may have a specific starting pay within this range.
Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.
Work Environment:
This position is open to remote candidates, reflecting our commitment to attracting exceptional talent regardless of geography. We've designed a flexible work arrangement that adapts to your geographic location. For candidates residing within 30 miles of the primary posted location, this position requires onsite presence. For those beyond this radius, embrace the freedom to contribute to our mission remotely while maintaining strong team connections. Regardless of your location, you'll be fully integrated into our team through robust digital collaboration tools and regular communication. Please note that work location is subject to change based on business needs.Benefits Overview:
We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:
Medical, Dental, Vision Insurance
401k, With Matching Contributions
Time Off Programs
Health Savings Account (HSA)/Dependent Care
Employee Banking
Growth Opportunities
Tuition Assistance
Short-Term/Long-Term Disability Insurance
Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/.
For additional information regarding compensation and benefits, e-mail FNBO at [email protected]. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.
Job number: R-20261856Equal Opportunity & Belonging:
FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves—no matter their role or where they are in their journey.
Learn more here.
FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.
Click here to download 'EEO is The Law' Self-Print Poster
Click here to download 'EEO is The Law' Supplement for Federal Contractors
Click here to download 'EEO is The Law' GINA Supplement
FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC
FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)
Application Deadline:
All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.
Skills Required
- Master's degree or PhD in Statistics, Data Science, Computer Science, Mathematics, Operations Research, Econometrics, or a related quantitative field
- PhD, particularly with strong research experience in machine learning, statistics, or quantitative finance
- 7+ years of experience developing statistical or machine learning models
- Experience developing credit card acquisition and account-management models, preferably in financial services or consumer credit
- Experience independently developing predictive models using large and complex datasets
- Expertise in Python and/or R
- Strong SQL skills
- Experience with gradient boosting, XGBoost, LightGBM, ensemble methods, neural networks, and other advanced machine learning techniques
- Experience with model explainability techniques such as SHAP and partial dependence
- Experience with the full model-development lifecycle, including development, implementation, and monitoring
- Strong understanding of credit-risk concepts and consumer lending
- Unrestricted work authorization without requiring future sponsorship
Fnbo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fnbo and has not been reviewed or approved by Fnbo.
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Retirement Support — Retirement plans include a matching 401(k) with an additional company contribution and other savings programs such as pension, stock bonus, and profit sharing. These features are portrayed as a strong component of total rewards.
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Parental & Family Support — Family supports include paid caregiving time for birth or adoption and for serious family health needs, caregiver leave, new‑parent assistance, and childcare resources. These offerings are highlighted as helpful for employees balancing work and family.
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Leave & Time Off Breadth — Time away is described as generous, combining paid time off with a broad set of observed holidays. Volunteer time off further adds flexibility for personal and community needs.
Fnbo Insights
What We Do
For more than 165 years, FNBO, a subsidiary of First National of Nebraska, has set the standard for outstanding customer service coupled with some of the most innovative financial products in the industry. When it opened in 1857, FNBO was a local bank that served only Omaha and the surrounding communities. Today, FNBO has locations in eight states and more than 6.6 million customers across the country. First National of Nebraska and its affiliates have nearly $30 billion in managed assets and 5,000 employee associates. We've come a long way in the last century and a half. As you browse through our site, we think you'll understand why we've been so successful – and why we're so excited about what the future holds for our customers and our organization. Check us out at www.fnbo.com.
